ReviewFrontiers in allergy2026
Digital health in allergy care: current practices, evidence, and future prospects.
Review in Frontiers in allergy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This mini-review summarizes the current applications of digital tools in allergy care, including telemedicine platforms, mobile health technologies, and AI-based decision support systems. It critically examines available evidence, benefits, and challenges for clinical practice and outlines future directions for integrating digital health into personalized allergy management. Mobile apps and wearable sensors enable real-time tracking of symptoms, medication use, and environmental triggers, providing actionable data that supports proactive disease management. Continuous data streams enhance clinicians' ability to adjust treatment promptly and personalize care. AI-driven tools offer emerging opportunities for predictive modeling and decision support, while telemedicine expands access and convenience. Together, these innovations may support more patient-centered, equitable, and data-informed care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.